Flexible and multifunctional textile sensors woven from hierarchical structure yarns for integrated sleep activity monitoring and thermotherapy healthcare for pressure injuries

IF 5.1 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Yingcun Liu, Juan Li, Yiming Xu, Xiangxiang Liu, Xianzhang Wu, Haiyang Jiang, Can Ge, Shuran Du, Chong Gao, Duo Xu and Jian Fang
{"title":"Flexible and multifunctional textile sensors woven from hierarchical structure yarns for integrated sleep activity monitoring and thermotherapy healthcare for pressure injuries","authors":"Yingcun Liu, Juan Li, Yiming Xu, Xiangxiang Liu, Xianzhang Wu, Haiyang Jiang, Can Ge, Shuran Du, Chong Gao, Duo Xu and Jian Fang","doi":"10.1039/D5TC02417J","DOIUrl":null,"url":null,"abstract":"<p >Pressure injuries, a major healthcare threat for chronic bedridden patients, demand innovative solutions for real-time monitoring and therapeutic intervention. Existing rigid or film-based sensors face challenges in flexibility and multi-point sensing capabilities. Herein, we present a multifunctional textile sensor integrating real-time pressure monitoring and on-demand thermotherapy through hierarchical core–shell yarns (HCYs). The HCYs are fabricated <em>via</em> a continuous and scalable braiding technique, comprising a conductive core (silver-coated Lyocell yarns) and a protective nylon sheath, enabling high compressibility, excellent sensing performance (max GF = 21.5), and electrothermal performance with a controllable temperature range (39.3–77.8 °C). This effectively assists in alleviating muscle tension, thereby enhancing pressure injury prevention for patients. A machine learning-assisted smart posture monitoring system is further developed to achieve a high accuracy of 96.5% in recognizing sleeping postures, thereby effectively assessing the risk of injuries through the integration of deep learning, embedded systems, and internet technology. This work proposes a novel strategy for the efficient construction of smart textiles. Integrating wearable sensing and therapeutic functionalities aims at mitigating pressure injuries and improving patient care efficiency, thereby accelerating the advancement of next-generation wearable healthcare technologies.</p>","PeriodicalId":84,"journal":{"name":"Journal of Materials Chemistry C","volume":" 36","pages":" 18936-18947"},"PeriodicalIF":5.1000,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Materials Chemistry C","FirstCategoryId":"1","ListUrlMain":"https://pubs.rsc.org/en/content/articlelanding/2025/tc/d5tc02417j","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Pressure injuries, a major healthcare threat for chronic bedridden patients, demand innovative solutions for real-time monitoring and therapeutic intervention. Existing rigid or film-based sensors face challenges in flexibility and multi-point sensing capabilities. Herein, we present a multifunctional textile sensor integrating real-time pressure monitoring and on-demand thermotherapy through hierarchical core–shell yarns (HCYs). The HCYs are fabricated via a continuous and scalable braiding technique, comprising a conductive core (silver-coated Lyocell yarns) and a protective nylon sheath, enabling high compressibility, excellent sensing performance (max GF = 21.5), and electrothermal performance with a controllable temperature range (39.3–77.8 °C). This effectively assists in alleviating muscle tension, thereby enhancing pressure injury prevention for patients. A machine learning-assisted smart posture monitoring system is further developed to achieve a high accuracy of 96.5% in recognizing sleeping postures, thereby effectively assessing the risk of injuries through the integration of deep learning, embedded systems, and internet technology. This work proposes a novel strategy for the efficient construction of smart textiles. Integrating wearable sensing and therapeutic functionalities aims at mitigating pressure injuries and improving patient care efficiency, thereby accelerating the advancement of next-generation wearable healthcare technologies.

Abstract Image

由分层结构纱线编织而成的柔性多功能纺织品传感器,用于综合睡眠活动监测和压力损伤的热疗保健
压力损伤是慢性卧床病人的主要医疗威胁,需要创新的解决方案来实时监测和治疗干预。现有的刚性或薄膜传感器在灵活性和多点传感能力方面面临挑战。在此,我们提出了一种多功能纺织品传感器,通过分层芯-壳纱线(HCYs)集成实时压力监测和按需热疗。HCYs是通过连续和可扩展的编织技术制造的,包括导电芯(镀银Lyocell纱线)和保护性尼龙护套,具有高可压缩性,优异的传感性能(最大GF = 21.5),以及可控制温度范围(39.3-77.8°C)的电热性能。这有效地帮助缓解肌肉紧张,从而加强对患者的压力损伤预防。进一步开发了一种机器学习辅助的智能姿势监测系统,通过深度学习、嵌入式系统和互联网技术的融合,对睡眠姿势的识别准确率达到96.5%,从而有效评估伤害风险。本研究为智能纺织品的高效构建提出了一种新的策略。集成可穿戴传感和治疗功能旨在减轻压力伤害和提高患者护理效率,从而加速下一代可穿戴医疗保健技术的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Materials Chemistry C
Journal of Materials Chemistry C MATERIALS SCIENCE, MULTIDISCIPLINARY-PHYSICS, APPLIED
CiteScore
10.80
自引率
6.20%
发文量
1468
期刊介绍: The Journal of Materials Chemistry is divided into three distinct sections, A, B, and C, each catering to specific applications of the materials under study: Journal of Materials Chemistry A focuses primarily on materials intended for applications in energy and sustainability. Journal of Materials Chemistry B specializes in materials designed for applications in biology and medicine. Journal of Materials Chemistry C is dedicated to materials suitable for applications in optical, magnetic, and electronic devices. Example topic areas within the scope of Journal of Materials Chemistry C are listed below. This list is neither exhaustive nor exclusive. Bioelectronics Conductors Detectors Dielectrics Displays Ferroelectrics Lasers LEDs Lighting Liquid crystals Memory Metamaterials Multiferroics Photonics Photovoltaics Semiconductors Sensors Single molecule conductors Spintronics Superconductors Thermoelectrics Topological insulators Transistors
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信